Patents by Inventor Daniel Levitt
Daniel Levitt has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11768842Abstract: A search engine for objects in a corpus of document dynamically evaluates search rank of the objects through Natural Language Processing and machine learning. When a search query is received for a first object, the search engine identifies search results including a plurality of source values that are tied to the first object in the corpus of published documents. A search rank is computed for each identified search result based on content of direct textual references to each of the plurality of source values within the corpus of published documents, as well as a weight assigned to each published document. The identified search results are returned according to the computed search rank.Type: GrantFiled: March 14, 2022Date of Patent: September 26, 2023Assignee: Bioz, Inc.Inventors: Karin Lachmi, Daniel Levitt, Ehud Pardo, Dan Grunspan
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Publication number: 20220197918Abstract: A search engine for objects in a corpus of document dynamically evaluates search rank of the objects through Natural Language Processing and machine learning. When a search query is received for a first object, the search engine identifies search results including a plurality of source values that are tied to the first object in the corpus of published documents. A search rank is computed for each identified search result based on content of direct textual references to each of the plurality of source values within the corpus of published documents, as well as a weight assigned to each published document. The identified search results are returned according to the computed search rank.Type: ApplicationFiled: March 14, 2022Publication date: June 23, 2022Inventors: Karin Lachmi, Daniel Levitt, Ehud Pardo, Dan Grunspan
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Patent number: 11347937Abstract: Taught is a search engine for science tools which dynamically evaluates search rank of said science tools through Natural Language Processing and machine learning. The search engine accepts into a corpus of public and private materials, which references individual science tools. Each item of the corpus is evaluated both as to how much that given item should be trusted, and what that item says about individual science tools. Each science tool is evaluated based on what the whole corpus of input data contains concerning those science tools, taking into account how valuable the source of the data is in order to render an overall score and search rank. The search engine generates a judgement of each individual science tool, which is dynamically updated as new information becomes available in the corpus of input data.Type: GrantFiled: June 30, 2020Date of Patent: May 31, 2022Assignee: Bioz, Inc.Inventors: Daniel Levitt, Karin Lachmi, Dan Grunspan, Ehud Pardo
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Patent number: 11281678Abstract: Taught is a search engine for science tools which dynamically evaluates search rank of said science tools through Natural Language Processing and machine learning. The search engine accepts into a corpus of public and private materials, which references individual science tools. Each item of the corpus is evaluated both as to how much that given item should be trusted, and what that item says about individual science tools. Each science tool is evaluated based on what the whole corpus of input data contains concerning those science tools, taking into account how valuable the source of the data is in order to render an overall score and search rank. The search engine generates a judgement of each individual science tool, which is dynamically updated as new information becomes available in the corpus of input data.Type: GrantFiled: January 14, 2019Date of Patent: March 22, 2022Assignee: Bioz, Inc.Inventors: Karin Lachmi, Daniel Levitt, Ehud Pardo, Dan Grunspan
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Patent number: 10956427Abstract: Taught is a search engine for science tools which dynamically evaluates search rank of said science tools through Natural Language Processing and machine learning. The search engine accepts into a corpus of public and private materials, which references individual science tools. Each item of the corpus is evaluated both as to how much that given item should be trusted, and what that item says about individual science tools. Each science tool is evaluated based on what the whole corpus of input data contains concerning those science tools, taking into account how valuable the source of the data is in order to render an overall score and search rank. The search engine generates a judgement of each individual science tool, which is dynamically updated as new information becomes available in the corpus of input data.Type: GrantFiled: May 25, 2017Date of Patent: March 23, 2021Assignee: BIOZ, INC.Inventors: Karin Lachmi, Daniel Levitt, Ehud Pardo, Dan Grunspan
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Patent number: 10881678Abstract: The present invention relates to a method of treating brain cancer comprising administering a therapeutically effective substance to a patient, wherein the therapeutically effective substance comprises: (I), or a pharmaceutically acceptable salt thereof, wherein X is a moiety that can be cleaved hydrolytically or enzymatically in the body of the patient in a pH-dependent manner.Type: GrantFiled: February 19, 2019Date of Patent: January 5, 2021Assignee: CytRx CorporationInventor: Daniel Levitt
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Publication number: 20200334415Abstract: Taught is a search engine for science tools which dynamically evaluates search rank of said science tools through Natural Language Processing and machine learning. The search engine accepts into a corpus of public and private materials, which references individual science tools. Each item of the corpus is evaluated both as to how much that given item should be trusted, and what that item says about individual science tools. Each science tool is evaluated based on what the whole corpus of input data contains concerning those science tools, taking into account how valuable the source of the data is in order to render an overall score and search rank. The search engine generates a judgement of each individual science tool, which is dynamically updated as new information becomes available in the corpus of input data.Type: ApplicationFiled: June 30, 2020Publication date: October 22, 2020Inventors: Daniel Levitt, Karin Lachmi, Dan Grunspan, Ehud Pardo
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Patent number: 10796101Abstract: Disclosed herein are methods, systems, and apparatuses, including computer programs encoded on computer storage media, for computing numeric representations of words. One of the methods includes obtaining, from a corpus of journals, a plurality of objects. The corpus is analyzed for contextual clues as to the nature of each of these objects. Contextual analysis may include an analysis of particular fields of metadata to do with the objects. Another example of contextual analysis involves identification of an experiment that a group of objects are commonly associated with and merging objects therefrom. A third contextual analysis example makes use of word vectors about each object. Using these contextual analyses, objects are merged together with the context of search results of a search engine.Type: GrantFiled: July 15, 2019Date of Patent: October 6, 2020Assignee: Bioz, Inc.Inventors: Karin Lachmi, Daniel Levitt, Dan Grunspan, Ehud Pardo
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Patent number: 10726202Abstract: Taught is a search engine for science tools which dynamically evaluates search rank of said science tools through Natural Language Processing and machine learning. The search engine accepts into a corpus of public and private materials, which references individual science tools. Each item of the corpus is evaluated both as to how much that given item should be trusted, and what that item says about individual science tools. Each science tool is evaluated based on what the whole corpus of input data contains concerning those science tools, taking into account how valuable the source of the data is in order to render an overall score and search rank. The search engine generates a judgement of each individual science tool, which is dynamically updated as new information becomes available in the corpus of input data.Type: GrantFiled: April 10, 2017Date of Patent: July 28, 2020Assignee: Bioz, Inc.Inventors: Daniel Levitt, Karin Lachmi, Dan Grunspan, Ehud Pardo
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Patent number: 10600524Abstract: A radiation protection device for providing protection of a body part that includes active bone marrow from ionizing radiation may include a radiation protection component configured to be placed adjacent to and externally cover the body part so as to reduce a radiation dose absorbed in that body part.Type: GrantFiled: November 14, 2012Date of Patent: March 24, 2020Assignee: STEMRAD LTD.Inventors: Oren Milstein, Daniel Levitt, Yoav Tikochinsky, Eyal Zur, Eran Zur
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Publication number: 20190361979Abstract: Disclosed herein are methods, systems, and apparatuses, including computer programs encoded on computer storage media, for computing numeric representations of words. One of the methods includes obtaining, from a corpus of journals, a plurality of objects. The corpus is analyzed for contextual clues as to the nature of each of these objects. Contextual analysis may include an analysis of particular fields of metadata to do with the objects. Another example of contextual analysis involves identification of an experiment that a group of objects are commonly associated with and merging objects therefrom. A third contextual analysis example makes use of word vectors about each object. Using these contextual analyses, objects are merged together with the context of search results of a search engine.Type: ApplicationFiled: July 15, 2019Publication date: November 28, 2019Inventors: Karin Lachmi, Daniel Levitt, Dan Grunspan, Ehud Pardo
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Publication number: 20190350952Abstract: The present invention relates to a method of treating brain cancer comprising administering a therapeutically effective substance to a patient, wherein the therapeutically effective substance comprises: (I), or a pharmaceutically acceptable salt thereof, wherein X is a moiety that can be cleaved hydrolytically or enzymatically in the body of the patient in a pH-dependent manner.Type: ApplicationFiled: February 19, 2019Publication date: November 21, 2019Inventor: Daniel Levitt
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Patent number: 10423724Abstract: Disclosed herein are methods, systems, and apparatuses, including computer programs encoded on computer storage media, for computing numeric representations of words. One of the methods includes obtaining, from a corpus of journals, a plurality of objects. The corpus is analyzed for contextual clues as to the nature of each of these objects. Contextual analysis may include an analysis of particular fields of metadata to do with the objects. Another example of contextual analysis involves identification of an experiment that a group of objects are commonly associated with and merging objects therefrom. A third contextual analysis example makes use of word vectors about each object. Using these contextual analyzes, objects are merged together with the context of search results of a search engine.Type: GrantFiled: May 19, 2017Date of Patent: September 24, 2019Assignee: BIOZ, INC.Inventors: Karin Lachmi, Daniel Levitt, Dan Grunspan, Ehud Pardo
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Patent number: 10328093Abstract: The invention relates to reconstituted formulations comprising an anthracycline compound, ethanol, and water. The invention also relates to injectable compositions comprising the reconstituted formulation and Lactated Ringer's solution. Additionally, the invention relates to methods of using the formulations and compositions.Type: GrantFiled: May 9, 2017Date of Patent: June 25, 2019Assignee: CytRx CorporationInventors: Scott Geyer, Daniel Levitt, Carrie Nodgaard, Edward H. Trappler
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Publication number: 20190146976Abstract: Taught is a search engine for science tools which dynamically evaluates search rank of said science tools through Natural Language Processing and machine learning. The search engine accepts into a corpus of public and private materials, which references individual science tools. Each item of the corpus is evaluated both as to how much that given item should be trusted, and what that item says about individual science tools. Each science tool is evaluated based on what the whole corpus of input data contains concerning those science tools, taking into account how valuable the source of the data is in order to render an overall score and search rank. The search engine generates a judgement of each individual science tool, which is dynamically updated as new information becomes available in the corpus of input data.Type: ApplicationFiled: January 14, 2019Publication date: May 16, 2019Inventors: Karin Lachmi, Daniel Levitt, Ehud Pardo, Dan Grunspan
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Patent number: 10278981Abstract: The present invention relates to a method of treating brain cancer comprising administering a therapeutically effective substance to a patient, wherein the therapeutically effective substance comprises: (I), or a pharmaceutically acceptable salt thereof, wherein X is a. moiety that can be cleaved hydrolytically or enzymatically in the body of the patient in a pH-dependent manner.Type: GrantFiled: June 4, 2014Date of Patent: May 7, 2019Assignee: CYTRX CORPORATIONInventor: Daniel Levitt
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Publication number: 20180336182Abstract: Disclosed herein are methods, systems, and apparatuses, including computer programs encoded on computer storage media, for computing numeric representations of words. One of the methods includes obtaining, from a corpus of journals, a plurality of objects. The corpus is analyzed for contextual clues as to the nature of each of these objects. Contextual analysis may include an analysis of particular fields of metadata to do with the objects. Another example of contextual analysis involves identification of an experiment that a group of objects are commonly associated with and merging objects therefrom. A third contextual analysis example makes use of word vectors about each object. Using these contextual analyses, objects are merged together with the context of search results of a search engine.Type: ApplicationFiled: May 19, 2017Publication date: November 22, 2018Inventors: Karin Lachmi, Daniel Levitt, Dan Grunspan, Ehud Pardo
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Publication number: 20180276303Abstract: Taught is a search engine for science tools which dynamically evaluates search rank of said science tools through Natural Language Processing and machine learning. The search engine accepts into a corpus of public and private materials, which references individual science tools. Each item of the corpus is evaluated both as to how much that given item should be trusted, and what that item says about individual science tools. Each science tool is evaluated based on what the whole corpus of input data contains concerning those science tools, taking into account how valuable the source of the data is in order to render an overall score and search rank. The search engine generates a judgement of each individual science tool, which is dynamically updated as new information becomes available in the corpus of input data.Type: ApplicationFiled: April 10, 2017Publication date: September 27, 2018Inventors: Daniel Levitt, Karin Lachmi, Dan Grunspan, Ehud Pardo
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Publication number: 20180174696Abstract: A radiation protection device for providing protection of a body part that includes active bone marrow from ionizing radiation may include a radiation protection component configured to be placed adjacent to and externally cover the body part so as to reduce a radiation dose absorbed in that body part.Type: ApplicationFiled: November 14, 2012Publication date: June 21, 2018Applicant: STEMRAD LTD.Inventors: Oren MILSTEIN, Daniel LEVITT, Yoav TIKOCHINSKY, Eyal ZUR, Eran ZUR
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Publication number: 20180018334Abstract: Taught is a search engine for science tools which dynamically evaluates search rank of said science tools through Natural Language Processing and machine learning. The search engine accepts into a corpus of public and private materials, which references individual science tools. Each item of the corpus is evaluated both as to how much that given item should be trusted, and what that item says about individual science tools. Each science tool is evaluated based on what the whole corpus of input data contains concerning those science tools, taking into account how valuable the source of the data is in order to render an overall score and search rank. The search engine generates a judgement of each individual science tool, which is dynamically updated as new information becomes available in the corpus of input data.Type: ApplicationFiled: May 25, 2017Publication date: January 18, 2018Inventors: Karin Lachmi, Daniel Levitt, Ehud Pardo, Danny Grunspan